No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by datadrivenconstruction · Agent Tool · ★ 452
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cad2data-Revit-IFC-DWG-DGN safe to install? View the security audit →
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| Stars | 452 |
| Forks | 105 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 60.28581604662/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-22 |
| Created | 2025-06-19 |
| Platforms | claude-code |
| Est. Tokens | ~28k |
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cad2data-Revit-IFC-DWG-DGN is Workflow for AI Agents enables automated conversion of CAD files (such as `.rvt`, `.ifc`, `.dwg`) using command-line converters on a local Windows machine. It is categorized as a Agent Tool with 452 GitHub stars.
cad2data-Revit-IFC-DWG-DGN is primarily written in Jupyter Notebook. It covers topics such as ai-agents, antigravity, autocad.
You can find installation instructions and usage details in the cad2data-Revit-IFC-DWG-DGN GitHub repository at github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN. The project has 452 stars and 105 forks, indicating an active community.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: